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Archisha GhanshaniAG
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Archisha Ghanshani

@archishaghanshani

Computer science researcher studying AI model behavior; first-authored an IEEE pipeline latency study.

India
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Attribution, Not Authority began as my independent study of when reasoning models adopt false suggestions. I built a Python evaluation harness, analyzed the reasoning traces, and reported the conditions that changed adoption—including an unresolved discrepancy in a replication test.

For my first-author IEEE paper, I measured a deployed vision-language pipeline stage by stage across 180 events, finding that configured delay and remote inference—not transport—accounted for most of the detection cycle. I also built a programming language, compiler, and virtual machine from scratch, and published SmartCompress FS on Ubuntu’s Snap Store.

Experience

Work history, roles, and key accomplishments

FD

Mobile Application Developer and Team Lead

Fix Dukaan

Jan 2025 - Aug 2025 (7 months)

Led a three-person team to build the company's mobile application from scratch, including requirements, architecture, development, testing, and handover.

TU

Full Stack Developer Intern

TBI, Graphic Era University

Nov 2024 - Jan 2025 (2 months)

Built and tested backend services and MERN applications in an Agile team, working through Git pull requests and code review.

TA

Front End Developer Intern

Tyson's Legal Allies

Mar 2024 - Apr 2024 (1 month)

Built responsive web interfaces and improved website performance by 20% through asset optimization and lazy loading.

Education

Degrees, certifications, and relevant coursework

Graphic Era (Deemed to be) University logoGU

Graphic Era (Deemed to be) University

B.Tech, Computer Science (Artificial Intelligence)

2022 - 2026

Grade: 8.39/10

Pursuing a B.Tech in Computer Science with a focus on Artificial Intelligence, achieving a CGPA of 8.39/10. Coursework includes machine learning, compiler design, and operating systems.

KS

K.L. International School

Class XII (CBSE), General

2020 - 2022

Grade: 83%

Completed Class XII (CBSE) with 83% and Class X (CBSE) with 94.6%. Class XI and XII were taught online during COVID.

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